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Paper Citation Record · LEDGER

Evaluating Compositionality in Sentence Embeddings

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1802.04302.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1802.04302 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:06:01.242462Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T21:21:32.360552Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 702379f5-06f0-482a-aabb-be0e04164dce · inbound

Higher-order Comparisons of Sentence Encoder Representations cites this paper.

Higher-order Comparisons of Sentence Encoder Representations Evaluating Compositionality in Sentence Embeddings

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T05:58:40.769667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:58:40.769667Z digest=sha256:499fb91c3a25d4c9452d9f5bd7dbbb1846d0904abb8797d38a6f310c97810725

Observation c4c60034-6edc-4f48-a66c-9519237c49bc · inbound

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs cites this paper.

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs Evaluating Compositionality in Sentence Embeddings

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T04:50:03.292929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:50:03.292929Z digest=sha256:df1a246c9d78da1ab414103e26023d60170ad5e422cbfbf1271624b39af8dc64

Observation 7d416882-b0dc-4841-9959-c6dc638311f6 · inbound

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes cites this paper.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Evaluating Compositionality in Sentence Embeddings

Reference 104

Resolution
verified exact
local_arxiv, observed 2026-08-07T21:21:32.365120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T21:21:31.663121Z digest=sha256:fc27d32887f3507620bd26b36ae9590aa5234fbd407d0093026b9df1f7114b3c

Observation b8524f3e-07c3-4736-a074-90e04ffe0613 · inbound

Understanding Subword Compositionality of Large Language Models cites this paper.

Understanding Subword Compositionality of Large Language Models Evaluating Compositionality in Sentence Embeddings

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T17:06:01.242462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:06:01.242462Z digest=sha256:6b73461084b395d2ddecb9e3fbde48864a85cc93ac157fdf59caa928c8ba34b2

Observation bde331cc-2121-4cc7-93e5-09cc60fe95c0 · inbound

L3Cube-MahaSTS: A Marathi Sentence Similarity Dataset and Models cites this paper.

L3Cube-MahaSTS: A Marathi Sentence Similarity Dataset and Models Evaluating Compositionality in Sentence Embeddings

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T16:43:38.067764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:43:38.067764Z digest=sha256:535a1374a76018916bf018337da6932fb2ff10c397e0f60ca9676345540b92b2